桥墩由于受到自重、活荷载、地面沉降等因素的影响,其沉降量数据中白噪声明显。通过选择RMSE、NSR等评价指标来建立相应的小波基函数,结合基于小波消噪技术的动态灰色理论预测模型,以动态新信息修正模型,进而对滤波后的估计值进行补偿以提高消噪效果。结果分析表明,该模型克服了传统预测模型的缺陷,改进了滤波效果,证明了该方法的可行性及有效性。 Due to the influence of dead weight, live load and ground subsidence, the white noise of the settlement data is obvious. By choosing RMSE, NSR and other indicators to establish the corresponding wavelet basis function, combined with dynamic gray theory based on wavelet denoising prediction model to dynamic new information to amend the model, and then the filtered estimate to compensate to improve the noise reduction effect . The results show that this model overcomes the shortcomings of the traditional prediction model and improves the filtering effect. It proves the feasibility and effectiveness of the proposed method.